Triple
T14133668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. A. Butler |
E350232
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Attock |
E186757
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Attock | Statement: [R. A. Butler, placeOfBirth, Attock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attock Context triple: [R. A. Butler, placeOfBirth, Attock]
-
A.
Attock
chosen
Attock is a historic city in northern Pakistan strategically located along the Indus River, long serving as a key gateway between the Punjab region and Khyber Pakhtunkhwa.
-
B.
Haripur
Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
-
C.
Panjgur
Panjgur is a town and district headquarters in Pakistan’s Balochistan province, known for its date cultivation and location along historic trade routes.
-
D.
Chakwal
Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
-
E.
Vehari
Vehari is a city in the Punjab province of Pakistan, known as an agricultural and educational hub in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e485fc8190aad0cce445aaec1a |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 11:40 p.m.